Philip J. Brown
Statistics and Probability · 2001–2017
A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 39 citations into it; #3,175 of 12,932 by trust here, #3,177 by citations
- Artificial Intelligence — 15 citations into it; #9,632 of 35,345 by trust here, #15,236 by citations
- Control and Systems Engineering — 7 citations into it; #3,720 of 8,257 by trust here, #3,516 by citations
- Optimization & Training — 5 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Philip J. Brown trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Hui Zou
- Mário A. T. Figueiredo
- Jim E. Griffin
- Trevor J. Hastie
- Raymond J. Carroll
- Gareth O. Roberts
- Ming Yuan
- Leo Breiman
- Jianqing Fan
Who trusts Philip J. Brown overall
- Jim E. Griffin
- Y. Zhang
- Gregor Kastner
- Peter F. Craigmile
- André Mas
- Kshitij Khare
- B. Naughton
- Nathan P. Lemoine
- Peter Guttorp
- Besnik Pumo
Papers from Philip J. Brown's perspective
Ordered by how strongly the researchers Philip J. Brown trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Addendum: Regularization and variable selection via the elastic net
- Model selection and estimation in regression with grouped variables
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- The Adaptive Lasso and Its Oracle Properties
- High-dimensional graphs and variable selection with the Lasso
- Computational approaches to motor learning by imitation.
- Generalized Additive Models
- Spline Models for Observational Data
- Asymptotics for lasso-type estimators
Their papers
- Inference with normal-gamma prior distributions in regression problems (2010) — 529 citations
- BAYESIAN HYPER‐LASSOS WITH NON‐CONVEX PENALIZATION (2011) — 88 citations
- Hierarchical Shrinkage Priors for Regression Models (2017) — 78 citations
- Bayesian Wavelet Regression on Curves With Application to a Spectroscopic Calibration Problem (2001) — 189 citations